Development of a Tool for Systematic Integration of Traditional and New Approach Methods for Prioritizing Chemical Lists
Antony Williams
10.6084/m9.figshare.6027068.v1
https://figshare.com/articles/presentation/Development_of_a_Tool_for_Systematic_Integration_of_Traditional_and_New_Approach_Methods_for_Prioritizing_Chemical_Lists/6027068
<p>Multiple
regulatory bodies (EPA, ECHA, Health Canada) are currently tasked with
prioritizing chemicals for data collection and risk assessments. These
prioritization efforts are in response to regulatory mandates to identify
chemicals for further assessment. We have developed a web-based application
that enables a rapid, flexible and transparent prioritization process. The tool
includes multiple data streams related to human and ecological hazard,
exposure, and physicochemical properties (persistence and bioaccumulation). For
human hazard, the data streams include quantitative points of departure (PODs)
that are compiled from multiple sources such as EPA ToxRefDB, ECHA, COSMOS;
estimated PODs from high-throughput <i>in
vitro</i> screening assays and computational models; and qualitative
measurements and predictions of specific endpoints (e.g., genotoxicity,
endocrine activity). For ecological hazard, quantitative PODs are taken from
the EPA ECOTOX database. Exposure information includes production volume,
quantitative predictions using the EPA ExpoCast and SHEDS models, biomonitoring
data, and qualitative information such as media occurrence, use profiles and
likelihood of consumer and childhood exposures. The use of the tool is
illustrated by prioritizing chemicals related to TSCA and the Safer Choice
Ingredient List. The underpinning data streams for this application are already
available in the EPA CompTox Chemistry Dashboard and have been repurposed to
deliver this application. This is in keeping with our overarching software
development methodology of providing multiple “building blocks” in the form of
databases, web services and visualization components to deliver fit-for purpose
applications to the relevant audiences. <i>T</i><i>his abstract does not
necessarily represent U.S. EPA policy</i>.</p>
2018-03-26 14:29:20
Computational Toxicology
Open Data
Computational chemistry
Environmental Chemistry
Environmental Science
Environmental Sciences not elsewhere classified